A method comprises: applying a first trained function to first input data to generate first output data, the first output data including first key elements; receiving second input data, the second input data being an X-ray image of an examination region acquired using a first collimation region; applying a second trained function to the second input data to generate second output data, the second output data including second key elements; receiving third input data in response to an incomplete set of second key elements, the third input data including the second key elements and an X-ray image of the examination region acquired using the first collimation region; applying a third trained function to the third input data to generate third output data, the third output data including an estimated third key element to complete the set of second key elements; and providing a complete set of second key elements.

Embodiments of the present invention relates to an X-ray contrast agent. The X-ray contrast agent has an X-ray absorption the change of which between at least two different X-ray photon energy levels differs from the change in X-ray absorption of calcium between the at least two different X-ray photon energy level. Embodiments of the present invention also relates to an X-ray imaging method. Embodiments of the present invention additionally relates to an image reconstruction device. Embodiments of the present invention further relates to an X-ray imaging system.

A device may include a housing including an accommodating cavity and an insertion opening configured to allow insertion of a detector into the accommodating cavity. The device may also include a locking mechanism configured to prevent the detector from leaving the accommodating cavity. The device may also include a charging assembly arranged on the housing. The charging assembly may include a charging head and an elastic element configured to drive the charging head away from a charging port of the detector.

A method and system to treat headaches in a patient by performing surgery via at least one nostril. Data from a computer tomography scan of at least one nasal cavity and one sinus cavity of the patient and a completed headache questionnaire are matched to at least one nasal/sinus surgery plan to operate on at least one of: a nasal septum, at least one sinus cavity and at least one turbinate of the patient. The surgery plan is executed by installing a topical local anesthetic and decongestant onto the at least one turbinate forming an anesthetized decongested nasal cavity; infusing an anesthetic into the anesthetized decongested nasal cavity of the patient; dilating the at least one sinus ostium; incising at least one of: a first mucosal flap or a second mucosal flap of the nasal septum of the anesthetized decongested nasal cavity to expose deviated septal cartilage and bone; removing deviated cartilage and/or bone of the nasal septum; fracturing the at least one turbinate laterally away from the nasal septum; inspecting between the first mucosal flap and the second mucosal flap for a residual broken bone, a residual segment of cartilage or combinations thereof, surgically closing the first mucosal flap and the second mucosal flap of the nasal septum; and suctioning unwanted matter from the anesthetized decongested nasal cavity. An interactive system guides the surgery and provides a record thereof.

A medical-image processing apparatus according to the present invention includes an obtaining unit configured to obtain a medical image obtained by capturing an image of an examinee and a generation unit configured to input the medical image to a learning model selected based on an operation mode of a sensor at the image capturing to generate a medical image of a higher resolution than a resolution of the medical image.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

A system includes a processor circuit configured to receive a set of intravascular data from an intravascular sensor at a first location within a blood vessel. The processor circuit simultaneously receives a set of cardiovascular data from a heart monitor. After the intravascular sensor is moved from the first location to a second location, the processor circuit receives an additional set of intravascular data from the intravascular sensor and an additional set of cardiovascular data from the heart monitor. The processor circuit then determines a distance between the first location and the second location and determines a pulse wave velocity associated with the blood flow within the blood vessel based on the sets of intravascular data, the sets of cardiovascular data, and the distance. The processor circuit then outputs the pulse wave velocity to a display.

A radiation imaging system comprises: an obtainment unit configured to obtain an image captured by radiation imaging; an image processing unit configured to generate a radiation image by applying image processing to the captured image; a display control unit configured to display, on a display unit, the radiation image with the image processing applied thereto; and a control unit configured to determine, based on an operation input, whether confirmation of the radiation image displayed on the display unit is complete.

A CPU acquires a distance image or a visible light image obtained by imaging a marker for measuring an SID as an object to be imaged using a TOF camera or a visible light camera. In addition, the CPU derives a marker distance between the TOF camera or the visible light camera and the marker from an image of a marker region corresponding to the marker in the acquired distance image or visible light image. Further, the CPU derives the SID on the basis of the derived marker distance and information indicating a positional relationship between an acquisition unit and the marker.

A CPU acquires a distance image or a visible light image captured by a TOF camera or a visible light camera that has, as an imageable region, a region including an irradiation region which is a space in which a breast of a subject imaged by a mammography apparatus is irradiated with radiation emitted from a radiation source and detects whether or not a foreign object other than an object to be imaged is present in the irradiation region on the basis of the distance image or the visible light image.